Senior Enterprise Data Engineer Job Johannesburg area,South Africa,IT/Tech

About the Role
We are seeking a highly experienced Senior Enterprise Data Engineer to join our enterprise data leadership team. This is a strategic, senior-level position responsible for defining, designing, and governing the long-term vision of our enterprise data platforms.

You will bridge high-level architectural strategy with hands-on technical oversight, owning the enterprise data roadmap while ensuring platforms are scalable, secure, and aligned with business objectives. This role requires a technical authority who can influence technology decisions, enforce governance standards, and provide leadership across multiple engineering teams in highly regulated environments.

Key Responsibilities

Architecture & Strategy

• Design and own the roadmap for enterprise-scale data architectures, including data lakes, data warehouses, and virtualization layers

• Define and enforce enterprise-wide standards for data integration, replication, data modeling, and data virtualization

• Lead evaluation and adoption of new data technologies, balancing innovation, stability, scalability, and total cost of ownership

• Design architectures suitable for analytics, AI, operational reporting, and real-time use cases

• Partner with executives and data leaders to influence long-term data strategy and investment roadmaps

Implementation & Platform Oversight

• Lead the architecture and enterprise-wide implementation of Denodo to create a unified, real-time data access and virtualization layer

• Oversee complex data pipelines built using Qlik Talend (Cloud and On-Prem) ensuring alignment with enterprise architectural standards

• Manage log-based CDC, real-time streaming, and heterogeneous database replication using Qlik Replicate

• Implement AI-driven workflow automation using IBM Watson

X Orchestrate to streamline data provisioning and operational processes

• Ensure high availability, performance optimization, disaster recovery readiness, and resilience across all critical data services

• Provide oversight on SQL optimization and advanced enterprise data modeling approaches (Data Vault 2.0, Anchor Modeling)

Governance, Security & Compliance

• Implement and govern enterprise data governance frameworks, including data lineage, metadata management, and data quality controls

• Ensure governance is embedded within the data virtualization layer

• Enforce enterprise security standards including RBAC, data masking, encryption, and secure data access

• Ensure compliance with regulatory frameworks such as GDPR, HIPAA, SOX, and other industry-specific requirements

• Support Master Data Management (MDM) strategies and enterprise data stewardship initiatives

Leadership & Mentorship

• Act as a subject matter expert and trusted advisor to data engineers, analysts, architects, and business stakeholders

• Mentor senior and junior engineers, promoting technical excellence and continuous improvement

• Drive architectural best practices across teams and foster a culture of governance, quality, and innovation

Requirements & Qualifications

Must-Have

Skills & Experience:

• 8+ years of progressive experience in data engineering, data architecture, or enterprise data platform roles

• 2–3+ years in a leadership or strategic oversight capacity

• Expert-level experience architecting and deploying enterprise data virtualization solutions using Denodo (including Denodo Platform and Data Catalog)

• Deep expertise in Qlik Talend (Cloud and On-Prem) for ETL/ELT orchestration

• Proven experience with Qlik Replicate for log-based CDC and real-time data replication

• Expert-level SQL skills and strong experience with advanced enterprise data modeling techniques (Data Vault 2.0, Anchor Modeling)

• Strong understanding of enterprise data governance, metadata management, and data quality frameworks

• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and enterprise data services

• Strong architectural thinking, strategic planning, and stakeholder engagement skills

Highly Desirable Skills:

• Experience designing Data Mesh or Data Fabric architectures

• Knowledge of Data Lakehouse paradigms (Delta Lake, Apache Iceberg)

• Experience with enterprise cloud data platforms such as Snowflake,…


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